Background: Chemo-radiotherapy with curative intent for anal cancer has high complete remission rates, but acute treatment-related gastrointestinal (GI) toxicity is significant. Toxicity occurs due to irradiation of surrounding normal tissue. Current radiotherapy requires the addition of large planning margins to the radiation field to ensure target coverage regardless of the considerable organ motion in the pelvic region. This increases the irradiated volume and radiation dose to the surrounding normal tissue and thereby toxicity. Online adaptive radiotherapy uses artificial intelligence to adjust the treatment to the anatomy of the day. This allows for the reduction of planning margins, minimizing the irradiated volume and thereby radiation to the surrounding normal tissue.This study examines if cone beam computed tomography (CBCT)-guided oART with daily automated treatment re-planning can reduce acute gastrointestinal toxicity in patients with anal cancer.
Methods/design: The study is a prospective, single-arm, phase II trial conducted at Copenhagen University Hospital, Herlev and Gentofte, Denmark. 205 patients with local only or locally advanced anal cancer, referred for radiotherapy with or without chemotherapy with curative intent, are planned for inclusion. Toxicity and quality of life are reported with Common Terminology Criteria of Adverse Events and patient-reported outcome questionnaires, before, during, and after treatment. The primary endpoint is a reduction in the incidence of acute treatment-related grade ≥ 2 diarrhea from 36 to 25% after daily online adaptive radiotherapy compared to standard radiotherapy. Secondary endpoints include all acute and late toxicity, overall survival, and reduction in treatment interruptions.
Results: Accrual began in January 2022 and is expected to finish in January 2026. Primary endpoint results are expected to be available in April 2026.
Discussion: This is the first study utilizing online adaptive radiotherapy to treat anal cancer. We hope to determine whether there is a clinical benefit for the patients, with significant reductions in acute GI toxicity without compromising treatment efficacy.
Trial Registration: ClinicalTrials.gov Identifier: NCT05438836. Danish Ethical Committee: H-21028093.
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http://dx.doi.org/10.1186/s12885-024-12111-1 | DOI Listing |
IJCAI (U S)
August 2024
Department of Computer Science, Harvard University.
The escalating prevalence of cannabis use, and associated cannabis-use disorder (CUD), poses a significant public health challenge globally. With a notably wide treatment gap, especially among emerging adults (EAs; ages 18-25), addressing cannabis use and CUD remains a pivotal objective within the 2030 United Nations Agenda for Sustainable Development Goals (SDG). In this work, we develop an online reinforcement learning (RL) algorithm called reBandit which will be utilized in a mobile health study to deliver personalized mobile health interventions aimed at reducing cannabis use among EAs.
View Article and Find Full Text PDFArchaeol Anthropol Sci
December 2024
Institut Català d'Arqueologia Clàssica (ICAC-CERCA), Tarragona, ES Spain.
Unlabelled: During the Iron Age, north-eastern Iberian communities relied on crop cultivation and animal husbandry for their subsistence. The latter was mainly focused on caprine, with sheep being prominent due to their suitability to the Mediterranean climate, orography, and environment. Despite the pivotal role of sheep in livestock husbandry, information on Iberian communities' feeding strategies for this species is limited.
View Article and Find Full Text PDFTransgend Health
December 2024
Department of Epidemiology, Emory University, Atlanta, Georgia, USA.
Purpose: Using a community-engaged approach, we adapted a human immunodeficiency virus (HIV) prevention smartphone app, Transpire, to meet the HIV and sexually transmitted infection (STI) prevention needs of transgender men and other transmasculine people. We conducted a pilot study to assess the feasibility and acceptability of the app among participants in two cities in the southeastern United States.
Methods: Participants were recruited online and through community partners.
Radiother Oncol
December 2024
Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), partner site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany; Cluster of Excellence "Machine Learning", University of Tübingen, Tübingen, Germany. Electronic address:
Purpose: To retrain a model based on a previously identified prognostic imaging biomarker using apparent diffusion coefficient (ADC) values from diffusion-weighted magnetic resonance imaging (DW-MRI) in a preclinical setting and validate the model using clinical DW-MRI data of patients with locally advanced head-and-neck cancer (HNC) acquired before radiochemotherapy.
Material And Methods: A total of 31 HNC patients underwent T2-weighted and DW-MRI using 3 T MRI before radiochemotherapy (35x2Gy). Gross tumor volumes (GTV) were delineated based on T2-weighted and b500 images.
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